AI in Medicine: Your Seat at the Governance Table: The Full Lifecycle and Your Role – Hosted by the Geisel Academy of Educators and Scholars

Overview

Institutional AI decisions are made by committees weighing technical evidence, workflow, equity, cost, and legal exposure at once, and clinicians who can do those things separately are rarely asked to do them together. Dr. Perkins walks the machine learning lifecycle with the audience supplying each phase, then adds the governance layer: institutional AI committees, vendor evaluation, post-market surveillance, bias auditing, and liability. Participants then work in small groups as a mock governance committee, appraising a realistic vendor packet against a structured rubric and defending a recommendation.

Please see the event website for further details.

Accreditation

Please see the event website for accreditation information.